Data Science Lead - AML Risk

Requirements:

Experience implementing, training, testing and evaluating performance of Machine Learning systems

Strong Python knowledge. A big plus for proven familiarity and experience with OOP principles

Experience with statistical analysis, and ability to produce well-designed experiments

A strong product mindset with the ability to work independently in a cross-functional and cross-team environment

Good communication skills and ability to get the point across to non-technical individuals

Strong problem-solving skills with the ability to help refine problem statements and figure out how to solve them

Nice to Have:

Familiarity with automating operational processes via technical solutions, for example Large Language Models

Willingness to get hands dirty with operational side by sides to understand their pain points

Knowledge and experience within the Financial Crime domain

What You'll Be Doing:

AML Risk Detection System Development

Building a team of high performing specialists

Performance Testing and Optimization

Operational Process Development

Deployment and Implementation

Perks and Benefits:

Opportunity to work on building the lead Data Science team and machine learning solutions

Direct impact on Wise's mission and millions of customers

Collaborative work environment

Diverse and inclusive company culture

Qualifications not a barrier if you have relevant experience